What to Look For in an AI Agent for Work

Build Collaborative AI Agents That Automate Workflows Without Coding

Key Takeaways Build collaborative AI agents when you want measurable workflow return, not just faster chat. In 2026, Anthropic’s State of AI Agents report says 80% of organizations already see measurable ROI from AI agents, and 57% use them for multi-stage workflows. Start with one process that already repeats. A no-code AI agent is easiest […]

What Managers Should and Shouldn’t Do With AI Agents in Secure Work Chats

Key Takeaways Treat AI agents as governed systems. Give them narrow permissions, approval steps for sensitive actions, and topic-scoped memory. Put AI agents in the same team chat where the work happens so the team can see context, corrections, and approvals in one thread. Define the KPI before rollout. Track hours saved, tickets resolved, approvals […]

How To Build AI Employees In One Click Without Coding

Key Takeaways Build the highest-impact AI agents first: one that handles a repeated workflow in your tools, because that is where time savings and error reduction show up fastest. Start with the top-ranked item, a secure chat-based AI agent tied to one business process, because it gives you a working result in one click and […]

How New Security Rules Make AI Agents in Work Chat Non-Negotiable

Key Takeaways New security rules make governed AI agents in team chat a requirement, because permissions, audit logs, and identity controls are now part of the buying decision. Enterprise adoption is already far ahead of governance. MiniOrange cites Deloitte data showing 96% of organizations run AI agents in production, while only 21% have mature governance. […]

AI Design Agents for Team Workflows: Automate Briefs, Feedback, and Approvals

Key Takeaways Build AI agents around the handoff points in design work, especially brief intake, feedback synthesis, and approval routing. Put the AI agents in the same group chat where the team already talks, so context stays visible and edits stay shared. Use approval controls for brand, legal, or spend-sensitive changes, and let read-only checks […]

How to Build Your First AI Agent in Under 5 Minutes (No Code)

Why ignoring chat context in AI agents costs your team deals and time

Key Takeaways Chat context is the difference between an AI agent that keeps a deal moving and one that repeats the same question three times. When context drops out of the thread, the team pays for it in rework, slower follow-up, and missed handoffs. Production AI agents lose a meaningful share of their advertised context […]

The surprising way AI agents learn and improve inside your team’s chat interface

Most teams think AI agents learn the way software gets trained, in a formal run, with a clean dataset and a fixed objective. That is not the surprising part. The surprising part is that AI agents often get better inside your team’s chat interface because they absorb the messy, shared operational context that your people […]